[en] Identifying associations between interindividual variability in brain structure and behaviour requires large cohorts, multivariate methods, out-of-sample validation and, ideally, out-of-cohort replication. Moreover, the influence of nature vs nurture on brain-behaviour associations should be analysed. We analysed associations between brain structure (grey matter volume, cortical thickness, and surface area) and behaviour (spanning cognition, emotion, and alertness) using regularized canonical correlation analysis and a machine learning framework that tests the generalisability and stability of such associations. The replicability of brain-behaviour associations was assessed in two large, independent cohorts. The load of genetic factors on these associations was analysed with heritability and genetic correlation. We found one heritable and replicable latent dimension linking cognitive-control/executive-functions and positive affect to brain structural variability in areas typically associated with higher cognitive functions, and with areas typically associated with sensorimotor functions. These results revealed a major axis of interindividual behavioural variability linking to a whole-brain structural pattern.
Disciplines :
Neurosciences & behavior
Author, co-author :
Nicolaisen-Sobesky, Eliana ; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research
Mihalik, Agoston ; Centre for Medical Image Computing, Department of Computer Science, University ; Max Planck University College London Centre for Computational Psychiatry and ; Department of Psychiatry, University of Cambridge, Cambridge, UK.
Kharabian-Masouleh, Shahrzad ; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf
Ferreira, Fabio S; Centre for Medical Image Computing, Department of Computer Science, University ; Max Planck University College London Centre for Computational Psychiatry and
Hoffstaedter, Felix ; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf
Schwender, Holger; Mathematical Institute, Heinrich Heine University Düsseldorf, Düsseldorf,
Maleki Balajoo, Somayeh ; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf
Valk, Sofie L; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, ; Otto Hahn Research Group "Cognitive Neurogenetics", Max Planck Institute for
Eickhoff, Simon B; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf,
Yeo, B T Thomas ; Department of Electrical and Computer Engineering, Centre for Translational MR
Mourao-Miranda, Janaina ; Centre for Medical Image Computing, Department of Computer Science, University ; Max Planck University College London Centre for Computational Psychiatry and
Genon, Sarah ; Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et revalidation cognitive ; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research ; Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf
Language :
English
Title :
A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure.
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